Yingying Zhu's portrait

YINGYING ZHU

Staff Scientist

Clinical Center, National Institutes of Health

Center Drive, Bethesda, MD 20800

Email: yingying dot zhu at nih dot gov

 

Google Scholar | Papers |Course

 

I am a Staff Scientist working with Ronald M. Summers at Clinical Center, National Institutes of Health. I work on the intersection of computer vision, medical image analysis, bioinformatics and machine learning with the goal of developing machine learning tools for solving real-world problems. I will join the Computer Science and Engineering Department, University of Texas at Arlington as an assistant professor in Fall 2020.


I did a postdoc at Cornell University working with Mert Sabuncu and postdoc in UNC Chapel Hill working with Guorong Wu. I obtained my Ph.D. from University of Queensland, Australia under the supervision of Simon Lucey (currently research associate professor in CMU, Pittsburgh, USA). I received my B.S. from Sichuan University and M. S. from University of Electronic Science and Technology of China.



Selected Publications

Cross-Domain Medical Imaging Translation using Shared Gaussian Mixture Model

Yingying Zhu, Youbao Tang, Yuxing Tang, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers

Accepted by MICCAI 2020

 

 

E2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans

Youbao Tang, Yuxing Tang, Yingying Zhu, Ronald M. Summers

Early Accepted by MICCAI 2020

 

 

Image Translation by Latent Union of Subspaces for Cross-Domain Plaque Segmentations

Yingying Zhu, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers

Medical Imaging with Deep Learning (MIDL) 2020

 

 

Multi-level U-Net for Pancreas Segmentation from Non-Contrast CT Scans through Domain Adaptation

Sai Aditya Sriram, Angshuman Paul, Yingying Zhu, Veit Sandfort, Perry J. Pickhardt, Ronald M. Summers

SPIE Medical Imaging 2020

 

 

Detecting Cannabis-Associated Cognitive Impairment Using Resting-State fNIRS

Yingying Zhu, Jodi Gilman, Anne Eden Evins, Mert Sabuncu

MICCAI 2019, oral presentation, accept rate<5%

 

 

A Bayesian Disease Progression Model for Clinical Trajectories

Yingying Zhu, Mert Sabuncu

GRAIL 2018, Beyond MIC 2018, oral presentation

 

 

Dynamic fMRI networks predict success in a behavioral weight loss program among older adults

Fatemeh Mokhtari, W Jack Rejeski, Yingying Zhu, Guorong Wu, Sean L Simpson, Jonathan H Burdette, Paul J Laurienti

Neuroimage 2018

 

 

Dynamic Hyper-Graph Inference Framework for Computer-Assisted Diagnosis of Neurodegenerative Diseases

Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Jin Yan, Daniel Kaufer, Guorong Wu

IEEE transactions on medical imaging 38 (2), 608-616, 2018

 

 

A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome

Yingying Zhu, Mert R Sabuncu

arXiv preprint arXiv:1803.05011 2018

 

 

Personalized diagnosis for Alzheimer's disease

Yingying Zhu, Minjeong Kim, Xiaofeng Zhu, Jin Yan, Daniel Kaufer and Guorong Wu

MICCAI 2017

 

 

Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning

Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Feiping Nie, Brent Munsell, Guorong Wu

Medical Image Analysis 2017

 

 

A tensor statistical model for quantifying dynamic functional connectivity

Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Jin Yan, Guorong Wu

IPMI 2017

 

 

A novel dynamic hyper-graph inference framework for computer assisted diagnosis of neuro-diseases

Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Jin Yan, Guorong Wu

IPMI 2017

 

 

Progressive graph-based transductive learning for multi-modal classification of brain disorder disease

Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Chen Zu, Feiping Nie, Dinggang Shen, Guorong Wu

MICCAI 2016

 

 

Reveal consistent spatial-temporal patterns from dynamic functional connectivity for autism spectrum disorder identification

Yingying Zhu, Xiaofeng Zhu, Han Zhang, Wei Gao, Dinggang Shen, Guorong Wu

MICCAI 2016

 

 

Early diagnosis of Alzheimer's disease by joint feature selection and classification on temporally structured support vector machine

Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Dinggang Shen, Guorong Wu

MICCAI 2016, oral presentation, accept rate < 5%

 

 

Complex non-rigid motion 3d reconstruction by union of subspaces

Yingying Zhu, Dong Huang, Fernando De La Torre, Simon Lucey

CVPR 2014

 

 

Convolutional sparse coding for trajectory reconstruction

Yingying Zhu, Simon Lucey

IEEE transactions on pattern analysis and machine intelligence 2014

 

 

Efficient Articulated Trajectory Reconstruction Using Dynamic Programming and Filters

Jack Valmadre, Yingying Zhu, Sridha Sridharan, Simon Lucey

ECCV 2012

 

 

3D motion reconstruction for real-world camera motion

Yingying Zhu, Mark Cox, Simon Lucey

CVPR 2011

 

 

Teaching

 

CSE 5368 Neural Networks Fall 2020

Syllabus CSE-5368-002